Cristina González Gonzalo (Radboudumc/UvA), Gerda Bortsova (Erasmus MC) and Suzanne Wetstein (TU Eindhoven) study previously unexplored factors affecting adversarial attack vulnerability of deep learning medical image analysis systems in three medical domains: ophthalmology, radiology, and pathology.
David Tellez succesfully defended his PhD thesis with the title 'Advancing computational pathology with deep learning: from patches to gigapixel image-level classification'.
Ecem Sogancioglu, Erdi Calli, and the team review all studies in deep-learning for chest X-ray images and discuss the state-of-the-art, datasets, commercial products, and clinical needs.
Kiran Vaidhya Venkadesh and team developed an AI algorithm for predicting the malignancy risk of lung nodules. This work appeared in Radiology.
European Radiology publishes a paper on the market landscape and scientific evidence of CE marked artificial intelligence products in radiology.
Jeroen van der Laak, Geert Litjens, and Francesco Ciompi discuss the way to the clinic for computation pathology algorithms.
Nils Hendrix developed an AI tool to detect scaphoid fractures on x-rays. Their work was published by the journal Radiology: Artificial Intelligence.
Anton Schreuder successfully defended his PhD thesis titled 'Lung cancer screening: use the scan to decide who to scan when' on the 6th of April and was awarded the PhD doctorate cum laude.
Anton Schreuder will defend his PhD thesis with the title 'Lung cancer screening: use the scan to decide who to scan when' on the 6th of April at 12.30.
PANCAIM builds on four key concepts of AI in Healthcare: clinical expertise and high amounts of carefully documented data, AI experts, and MedTech companies to collect the data and bring AI to healthcare.